Public regulation effectiveness assessment of Russian regional labor markets using hierarchical clustering method

Public employment services (PES) in the modern world play a crucial role improving efficiency of labor market, they reduce time and effort unemployed finding suitable work, also information asymmetry costs for companies right workers. At same time, activities themselves have different results, which creates problems with measuring their effectiveness depending on regional characteristics. This article is aimed at developing more accurate assessment PES based construction Russian regions classification. The study approach Blien Hirschenauer (2018), who proposed new methodology clustering. application two-stage method regression agglomeration-hierarchical cluster analysis made it possible to rank territories into seven groups clusters. Using R Studio, was compiled map clusters regions. Within each classification group, similar characteristics markets. one first attempt markets order improve public Russia. results can be used by federal executive authorities development an active policy fairly achieve greater services, introduce examples best practices.